This dataset contains the location, dimension, and ecological characteristics of 492 gully blocks on Kinder Scout, an upland peatland in the UK. Stone and timber dams were installed in 2013-2014 as part of peatland restoration works on Kinder Scout. The survey was undertaken to determine the longer-term (7-8 years) evolution of gully blocks. Location data for dam points was collected using a differential GPS (dGPS). Field measurements of dam dimensions and vegetation were carried out. Some dam characteristics were derived using geospatial methods. Ancillary vegetation data are provided in a separate file to the main dam survey data and can be matched on the dam identification number. Full details about this dataset can be found at https://doi.org/10.5285/6ab9c89d-7ba1-4bc8-afc6-c2563f4ff49b

The data comprise Sentinel-2 derived burn severity rasters covering restored and unrestored reaches of the South Fork McKenzie river, Oregon USA. The data were collected in order to quantify differences in burn severity in restored and unrestored river reaches following the Holiday Farm wildfire in 2020. Raw satellite imagery acquired in June 2020 and June 2021 was processed to calculate Normalised Burn Ratio (NBR), giving pre- and post-fire burn severity information. Data consist of 10 m .TIF raster imagery where a digital number gives a measure of burn severity; high NBR values indicate healthy vegetation, whereas lower values indicate burnt areas or bare ground. The study was conducted by the University of Nottingham, in partnership with the US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/8162887a-5481-440f-a7f2-427eee793efd

Periphyton data consists of diatom scrubs sampled in a range of riffle and pool habitats including diatom taxa counts (identified to genus level) and computed autotrophic index (ratio of the organic mass per cm2 to mass (microgram) of chlorophyll a) as well as site characterisation data. The data were collected from the South Fork McKenzie river, Oregon, USA in September of 2021 and February 2022 following the Holiday Farm wildfire in Autumn 2020. Samples were collected from a restored and unrestored reach of the South Fork McKenzie River with a view to quantifying differences in periphyton response to wildfire in the restored vs. unrestored river reaches. The study was conducted by the University of Nottingham, with data collected by partners from The US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/6b7337fa-037b-4c03-a8be-fd4c5722fe1a

Dataset contains water chemistry data (pH, conductivity, dissolved carbon, dissolved gases, absorbance) from natural and artificial/restoration peat pools in Scottish peatlands. Water samples were collected seasonally from three sites, and more frequently (up to weekly) from one site, in within the Flow Country. Full details about this dataset can be found at https://doi.org/10.5285/17b51437-0231-4eac-a176-1277185ba2e9

This data gives acoustic index values for recordings collected in 60 broadleaved woodland restoration sites in Central Scotland (n=30) and the English Midlands (n=30), as well as 18 grassland sites in southern England. Additionally, there are recordings from 6 wildcard sites, made up of ancient woodlands (2 in Scotland and 2 in England) and rewilding sites (2 in England). There were three deployments of acoustic recorders between July 2021 and April 2022. Full details about this dataset can be found at https://doi.org/10.5285/33b6dea2-94c5-4e33-a1b3-9a6bd1c8776a

The dataset comprises biochemical measurements of salt marsh soil, and samples from fields on former salt marsh, taken using a soil corer. Sampling was conducted at three restored salt marshes and six accidentally breached sites on the Essex coast, UK, providing a chronosequence from 16 to 114 years since restoration of tidal flow. Natural salt marsh at all sites were also sampled, along with adjacent fields on former salt marsh (where access permitted). All salt marsh sampling took place in October 2011. Field sample sites were sampled between July 2010 and April 2017. This data was collected as part of the NERC Centre for Ecology & Hydrology's Multi-functional land-use options project (C03463) in order to determine the trajectory and timescale of habitat recovery, and provide empirically-based predictions of changes in the rate of carbon sequestration over time following saltmarsh restoration. Data is also represented for fields on former saltmarsh to give a 'before' time point to be able to calculate these changes. Full details about this dataset can be found at https://doi.org/10.5285/0b1faab4-3539-457f-9169-b0b1fbd59bc2

Soil data comprises sample depth, moisture content, % sand/silt/clay, texture, and various nitrate/nitrite/carbon metrics. These data were collected from the South Fork McKenzie River, Oregon, USA in July 2020, February 2021 and June 2021 following the Holiday Farm wildfire in Autumn 2020. Samples were collected from a restored and unrestored reach of the South Fork McKenzie River with a view to quantifying differences in soil response to wildfire in the restored vs. unrestored river reaches. The study was conducted by the University of Nottingham, with data collected by partners from The US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council grant NE/V021443/1. Full details about this dataset can be found at https://doi.org/10.5285/d69e854a-f01d-4d5e-8819-219053e8d00c

This dataset contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), methane (CH4) and meteorological observations measured at two locations in the Flow Country blanket bog complex, Caithness and Sutherland, UK. The tower over the area affected by wildfire after initial felling (UK-DKF) is located at 58.431, -3.96 and monitors across a footprint affected by a wildfire in early May 2019. The tower over the area felled for restoration after previous afforestation (UK-DKE-RESTORED, which was not affected by the wildfire) is located at 58.428, -3.967 and measures fluxes from a footprint identical in ground flora, topography, soil type and previous management to that of the FIRE tower, with the only exception that the fire did not reach as far as the footprint monitored. The dataset comprises eddy covariance CO2, water and energy fluxes, originally collected at 20Hz and processed to 30-minute data, as well as accompanying meteorological observations, originally collected at 15 min and processed to 30-minute data. The time period covered in this dataset is 25/09/2019 – 20/05/2021. Full details about this dataset can be found at https://doi.org/10.5285/d4a7ca90-0c62-4a31-986e-f433e1644bf3

his dataset consists of behaviour and distribution data of Lepidoptera from mown chalk grassland boundaries at the Stonehenge World Heritage Site in Wiltshire, UK, between July and August 2012. The landscape consisted of a mosaic of chalk grassland fragments on ancient burial mounds (barrows) and slopes, grassland re-creation fields of different ages since sowing, semi-improved pasture, arable farmland and woodland. In one of the grassland re-creation fields, two large areas were mown and eight 20 m long survey boundaries were set up. Four of these were set up on the edge of one of two mown areas and four were set up in areas of continuous un-mown grass which had dummy 'boundaries' parallel to the mown boundaries. The survey was conducted from the survey boundary and the flight path of individual Lepidoptera was tracked in the area 10 m either side of the survey boundary. Each individual Lepidoptera flight path was surveyed for three minutes. Each boundary was surveyed for a total of 20 minutes on three occasions over a five week period. The sequence of boundaries surveyed was chosen randomly and equal survey effort was allocated to visually searching both sides of the boundary. The order and time of day for surveying each survey area was random so to spread surveys throughout the survey period and throughout the day. Measures of vegetation characteristics and nectar flower availability were recorded for survey areas. Recorded vegetation characteristics included vegetation height and density. Nectar flower availability was measured as the number of flowering units of nectar flowers and numbers of those in the Asteraceae, Fabaceae and Dipsacaceae families. The data were collected as part of a PhD project funded by the Natural Environment Research Council and the National Trust. Full details about this dataset can be found at https://doi.org/10.5285/e3598268-22d7-4913-a736-890728ea858b

Bird data comprises point counts of bird species and their abundance observed at each collection site. Data are separated into birds within 50m, greater than 50m distant and birds in flight. These data were collected from the South Fork McKenzie river, Oregon, USA in June 2021 following the Holiday Farm wildfire in Autumn 2020. Samples were collected from a restored and unrestored reach of the South Fork McKenzie River with a view to quantifying differences in avian response to wildfire in the restored vs. unrestored river reaches. The study was conducted by the University of Nottingham, with data collected by partners from The US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/dd919c8e-ccd6-48ed-a1c0-ef5cf732bdc6